AIMC Topic: Retina

Clear Filters Showing 271 to 280 of 454 articles

Diabetic retinopathy and ultrawide field imaging.

Seminars in ophthalmology Mar 13, 2020
The introduction of ultrawide field imaging has allowed the visualization of approximately 82% of the total retinal area compared to only 30% using 7-standard field Early Treatment Diabetic Retinopathy (ETDRS) photography. This substantially wider fi...
Telemedicine Fluorescein Angiography Disease Progression Tomography, Optical Coherence Retina Diabetic Retinopathy Artificial Intelligence Humans
View on PubMed DOI

Visual information flow in Wilson-Cowan networks.

Journal of neurophysiology Mar 11, 2020
In this paper, we study the communication efficiency of a psychophysically tuned cascade of Wilson-Cowan and divisive normalization layers that simulate the retina-V1 pathway. This is the first analysis of Wilson-Cowan networks in terms of multivaria...
Humans Nerve Net Visual Perception Neural Networks, Computer Visual Cortex Visual Pathways Models, Biological Retina
View on PubMed DOI

A Deep Learning Model for Segmentation of Geographic Atrophy to Study Its Long-Term Natural History.

Ophthalmology Feb 15, 2020
PURPOSE: To develop and validate a deep learning model for the automatic segmentation of geographic atrophy (GA) using color fundus images (CFIs) and its application to study the growth rate of GA.
Retina Fluorescein Angiography Geographic Atrophy Deep Learning Follow-Up Studies Fundus Oculi Forecasting Humans Aged Disease Progression Prospective Studies Male Severity of Illness Index Female
View on PubMed DOI

Development and Evaluation of a Deep Learning System for Screening Retinal Hemorrhage Based on Ultra-Widefield Fundus Images.

Translational vision science & technology Jan 29, 2020
PURPOSE: To develop and evaluate a deep learning (DL) system for retinal hemorrhage (RH) screening using ultra-widefield fundus (UWF) images.
Fundus Oculi Retina Retinal Diseases Retinal Hemorrhage Adolescent Child, Preschool Child Male Middle Aged Deep Learning Humans Female Young Adult Adult Aged Aged, 80 and over
View on PubMed DOI

Multi-label classification of retinal lesions in diabetic retinopathy for automatic analysis of fundus fluorescein angiography based on deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 14, 2020
PURPOSE: To automatically detect and classify the lesions of diabetic retinopathy (DR) in fundus fluorescein angiography (FFA) images using deep learning algorithm through comparing 3 convolutional neural networks (CNNs).
Humans Female Aged Male Middle Aged Diabetic Retinopathy Neural Networks, Computer Algorithms Retina Deep Learning Fluorescein Angiography Image Processing, Computer-Assisted Fundus Oculi
View on PubMed DOI

DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation.

Journal of healthcare engineering Dec 26, 2019
Medical image segmentation is one of the hot issues in the related area of image processing. Precise segmentation for medical images is a vital guarantee for follow-up treatment. At present, however, low gray contrast and blurred tissue boundaries ar...
Hippocampus Image Processing, Computer-Assisted Magnetic Resonance Imaging Retina Humans Algorithms Deep Learning
View on PubMed DOI

Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features.

Sensors (Basel, Switzerland) Dec 3, 2019
The purpose of this paper is to evaluate the feasibility of diagnosing multiple sclerosis (MS) using optical coherence tomography (OCT) data and a support vector machine (SVM) as an automatic classifier. Forty-eight MS patients without symptoms of op...
Humans Machine Learning Female Case-Control Studies Diagnosis, Computer-Assisted Adult Male Optic Neuritis Retina Sex Factors Support Vector Machine Multiple Sclerosis Area Under Curve Normal Distribution Tomography, Optical Coherence
View on PubMed DOI

Retinal vascular junction detection and classification via deep neural networks.

Computer methods and programs in biomedicine Sep 27, 2019
BACKGROUND AND OBJECTIVES: The retinal fundus contains intricate vascular trees, some of which are mutually intersected and overlapped. The intersection and overlapping of retinal vessels represent vascular junctions (i.e. bifurcation and crossover) ...
Retina Humans Anisotropy Reproducibility of Results Neural Networks, Computer Retinal Vessels Diagnosis, Computer-Assisted Algorithms Image Processing, Computer-Assisted Databases, Factual Color Fundus Oculi
View on PubMed DOI

Deep learning based retinal OCT segmentation.

Computers in biology and medicine Sep 17, 2019
We look at the recent application of deep learning (DL) methods in automated fine-grained segmentation of spectral domain optical coherence tomography (OCT) images of the retina. We describe a new method combining fully convolutional networks (FCN) w...
Deep Learning Retina Humans Image Interpretation, Computer-Assisted Tomography, Optical Coherence Diabetic Retinopathy Algorithms
View on PubMed DOI

DeSpecNet: a CNN-based method for speckle reduction in retinal optical coherence tomography images.

Physics in medicine and biology Sep 4, 2019
Speckle is a major quality degrading factor in optical coherence tomography (OCT) images. In this work we propose a new deep learning network for speckle reduction in retinal OCT images, termed DeSpecNet. Unlike traditional algorithms, the model can ...
Tomography, Optical Coherence Retina Signal-To-Noise Ratio Humans Neural Networks, Computer Image Processing, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals